Jos Elfring is an Assistant Professor and Chair of Methods of World Modeling for Autonomous Systems at the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). His primary interest are world modeling techniques. In addition, he is specialized in AI, robotics, automated driving, motion prediction, localization, mapping, state estimation, multi sensor fusion.
Jos Elfring received his MSc in Mechanical Engineering from TU/e in 2009 and his PhD in 2014. His internship took place at the University of Canterbury (Christchurch, New Zealand) in 2007. Jos’ MSc research revolves around ‘System Identification and Multivariable Control of a Hydraulically Actuated Pushbelt CVT’ and his PhD thesis dealt with Semantic World Modeling for Autonomous Robots and was part of the European project RoboEarth. He successfully finished the Dutch Institute of Systems and Control course program in 2011, was a member of the Tech United RoboCup@Home team for several years and won the best paper award at the 2013 RoboCup Symposium. He is working as an assistent professor since 2017.
In addition to his work at TU/e, Jos is a tech lead and line manager at the TomTom Autonomous Driving team.
Particle Filters: A Hands-On TutorialSensors (2021)
Effective world modelingSensors (2016)
Learning intentions for improved human motion predictionRobotics and Autonomous Systems (2014)
Semantic world modeling using probabilistic multiple hypothesis anchoringRobotics and Autonomous Systems (2013)
RoboEarthIEEE Robotics and Automation Magazine (2011)
Current Educational Activities
No ancillary activities